Dependence on Initial Guess: The accuracy of the final reconstruction can be sensitive to the initial guess provided to the algorithm. Computationally Intensive: The iterative nature of HIO makes it computationally demanding, requiring significant processing power, especially for large datasets. Convergence Issues: HIO may converge to local minima, resulting in suboptimal reconstructions. Techniques like genetic algorithms or simulated annealing can be used to mitigate this issue.
